Call for Paper

• Intelligent Control Architectures and Methods
• Next generation intelligent control architectures and methods
• Multiagent based planning, control and intelligence
• Distributed/decentralized intelligent control
• Neural networks, fuzzy logic and genetic algorithms
• Swarm intelligence, learning and control
• Intelligent control of networked dynamic systems
• Intelligent control of wireless ad hoc and sensor networks
• Embedded intelligent control
• Biological learning control systems
• Machine learning
• Hybrid dynamical systems control, pattern discovery
• Distributed or decentralized control methods
• Probabilistic approaches, knowledge-based sensor fusion
• Distributed and embedded systems, large scale systems
• AI and expert systems, distributed intelligence
• Automatic Control and Systems Modeling
• System identification
• Optimization in control systems
• Optimal control
• Adaptive control
• Non-linear control
• Hybrid dynamical systems
• Petri nets
• Hierarchical control
• Discrete event systems
• Information-based models for control
• Distributed control systems
• System modeling, simulation and architectures
• Cybernetics
• Computer and microprocessor-based control
• Hierarchical control
• Instrumentation networks and software
• Field-buses
• Real-time systems control
• Environmental monitoring and control
• Time series and system modeling
• Time-frequency analysis
• Feature extraction
• Information-based models for control
• Discrete event systems
• Hybrid dynamical systems
• System identification
• Change detection problems
• Intelligent Control Systems
• Decision support systems
• Distributed control systems
• Expert systems for industry
• Intelligent fault detection and identification
• Knowledge-based systems applications
• Machine learning in control applications
• Hybrid learning systems
• Mechatronic systems
• Neural networks based control systems
• Optimization algorithms
• Software agents for intelligent control systems
• Soft computing
• Fuzzy control
• Genetic algorithms
• Intelligent control agents
• Evolutionary computation
• Biologically inspired control systems
• Automation, Instrumentation and Measurements
• Autonomous agents
• Petri nets (system design/verification with nets, protocols and networks)
• Industrial networks and automation
• Field-buses
• Real-time systems control
• Environmental monitoring and control
• Process control
• CAD, CAM, CAE
• Flexible manufacturing systems
• Web-based control